An Embedded System for Comparative Performance Analysis of Monolithic Temperature Sensors

S.K.Tilekar*, S. V. Chavan**, B. P. Ladgaonkar***, P. V. Mane Deshmukh****
Associate Professor, Shankarrao Mohite College, Solapur, India
Assistant Professor, MIT Arts, Commerce and Science College Alandi, Pune, India.
Head of Post Graduate Department of Electronics, Shankarrao Mohite Solapur, India.
VLSI Design and Research Centre, Post Graduate Department of Electronics, Shankarrao Mohite Mahavidyalaya,Solapur,India
Periodicity:December - February'2018


Indeed, for many industrial applications precise and reliable monitoring of the temperature is significantly important. To ensure this various temperature sensors such as Thermocouples, Thermistors, RTDs, Pyrometers and semiconductor sensors, etc., are readily available. These sensors depict their own salient features. For accurate and reliable temperature monitoring, the monolithic temperature sensor are always recommended. Moreover, it is found that, monolithic temperature sensors demonstrate diversity in sensing mechanism, which results into diversity in the values of the temperature to be monitored. This may results into degradation in reliability of the temperature monitoring system. To explore the details, an embedded system is designed for comparative performance analysis of monolithic temperature sensors and results of investigation are presented in this paper.

The multichannel an embedded system is developed by deploying the 89S52 microcontroller wherein data acquisition and computing is carried out precisely. The two monolithic temperature sensors; temperature dependent voltage 0 sensors, (LM35: α = 1 mV/ C) and temperature dependent current sensor (AD590 : α = 1 μA/K), have been interfaced. Digital readout unit is developed about smart 16X2 LCD module. The Integrated Development Environment (IDE), Keil uVision4, is utilized for the firmware development in C environment. Present monitoring system is scientifically calibrated to the temperature in degree Celsius. Temperature values shown by both temperature sensor are simultaneously recorded and results are interpreted in this paper.


Embedded System, Microcontroller, LM35, AD590, ADC0808, Temperature.

How to Cite this Article?

Tilekar. S.K., Chavan. S.V., Ladgaonkar. B.P and Deshmukh. M.P.V. (2018). An Embedded System for Comparative Performance Analysis of Monolithic Temperature Sensors. i-manager's Journal on Electronics Engineering, 8(2), 12-19.


[1]. Rongxia, S., Yi, T., & Yibing, D. (2009, November). Design and implementation of industrial multi-parameter data acquisition system based on AT89S52. In Intelligent Information Technology Application Workshops, 2009. IITAW'09. Third International Symposium on (pp. 169-172). IEEE.
[2]. Raji, A., Devi, P. K., Jeyaseeli, P. G., & Balaganesh, N. (2016, November). Respiratory monitoring system for asthma patients based on IoT. In Green Engineering and Technologies (IC-GET), 2016 Online International Conference on (pp. 1-6). IEEE.
[3]. Singh, A. K., Chatterji, S., Shimi, S. L., & Gaur, A. (2015). Remote Lab in Instrumentation and Control Engineering Using LabVIEW. International Journal of Electronics and Electrical Engineering, 3(4).
[4]. Rajita, G., Mondal, B., Mandal, N., & Sarkar, R. (2016, January). Design of a PC based real time mass flow indicator using AD590 as sensor. In Control, Measurement and Instrumentation (CMI), 2016 IEEE First International Conference on (pp. 449-453). IEEE.
[5]. Arunaganesan, S., Adhavan, J., Reddy, G. S., & Venkatesan, M. (2013, December). Data acquisition system based on 8051 microcontroller for cutting tool temperature measurement. In Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on (pp. 1-4). IEEE.
[6]. Pease, R. L., Dunham, G. W., Seiler, J. E., Platteter, D. G., & McClure, S. S. (2007). Total dose and dose rate response of an AD590 temperature transducer. IEEE Transactions on Nuclear Science, 54(4), 1049-1054.
[7]. Chatterji, S., Shimi, S. L., Singh, A. K., & Gaur, A. (2013, December). Web laborator y in instrumentation engineering for distance education using LabVIEW. In Innovation and Technology in Education (MITE), 2013 IEEE International Conference in MOOC (pp. 240-244). IEEE.
[8]. Deshmukh, P. M., Pathan, S. C., Chanvan, S. V., Tilekar, S. K., & Ladgaonkar, B. P. (2016). Wireless sensor network for monitoring of air pollution near industrial sector. International Journal of Advanced Research in Computer Scienceand Software Engineering, 6(6), 638-645.
[9]. Luo, R. C., & Su, K. L. (2007). Autonomous firedetection system using adaptive sensory fusion for intelligent security robot. Ieee/Asme Transactions on Mechatronics, 12(3), 274-281.
[10]. S. K. Tilekar and B. P. Ladgaonkar, (2013). “Designing of Mixed Signal Based Programmable System on Chip for Temperature Compensated pH Measurement ”, International Journal of Scientific and Engineering Research, France, Vol. 4, No. 6, pp. 672-678.
[11]. Kumaravel, S., Neelamegam, P., & Vasumathi, R. (2010). Distributed chloride prediction system using neural network and PIC18F452 microcontrollers in water analysis. Int. J. of computer applications (0975-8887), 8(14), 15- 20.
[12]. SalehaBegum, B., AshrafAhamed, B., Kumar, A. S., RamaMurthy, B., Thimmaiah, P., & Khan, K. A. (2013). Embedded Based Soil Electrical Conductivity Measurement System. IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS), 26, 17-20.
[13]. Tamayo, M., Westover, A., & Sun, Y. (2010, March). Microcontroller based pulse oximeter for undergraduate capstone design. In Bioengineering Conference, th Proceedings of the 2010 IEEE 36 Annual Northeast (pp. 1- 2). IEEE.
[14]. Pertijs, M. A., Aita, A. L., Makinwa, K. A., & Huijsing, J. H. (2010). Low-cost calibration techniques for smart temperature sensors. IEEE Sensors Journal, 10(6), 1098- 1105.
[15]. Frischer, R., Penhaker, M., Krejcar, O., Kacerovsky, M., & Selamat, A. (2014). Precise temperature measurement for increasing the survival of newborn babies in incubator environments. Sensors, 14(12), 23563- 23580.
[16]. Khan, N. A. A., & Sankar, K. J. (2014, October). User interface design for LPC2138 to configure wireless sensor node parameters. In Smart Structures and Systems (ICSSS), 2014 International Conference on (pp. 31-34). IEEE.
[17]. Che, X., & Xie, Z. (2017). Development of ReFaST Pyrometer for Measuring Surface Temperature With Unknown Emissivity: Methodology, Implementation, and Validation. IEEE Transactions on Instrumentation and Measurement, 66(7), 1845-1855.

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

If you have access to this article please login to view the article or kindly login to purchase the article
Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.